modifications/additions to llm_qa_direct_only and parse_scenario_womd. also incorporating grade files and corresponding generated graphs #6
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…or loop to prevent repeated output in llm_qa_direct_only.py. changed index in run_experiments.py to work with 8 interaction scenario ID. output observed in deepseek_grades.json
…or loop to prevent repeated output in llm_qa_direct_only.py. changed index in run_experiments.py to work with 8 interaction scenario ID. output observed in deepseek_grades.json
…ting 2,4,6shot under generate_qa_prompt, and modified graph titles within main. parse_scenario_womd: called obtain_andwrite_mcq_data to sort through indices to generate parsed womdr data. committing deepseek grade files and corresponding graphs
…es with gpt4o-mini in addition to creating draft of script comparing experiment results in bar chart
…curately distinguish individual words; implemented context word count calculation; categorized scenario ID size based on byte count. in llm_qa_direct: removed faithfulness scores and represented only correctness scores; displayed context word count; updated plt graph to represent correctness scores solely.
…2,53) was returning two files rather than one (being 53) after previously committing changes. moved old batch of experiments run to a different file for organization, after modifying procedure and experiment goals.
…ectness averages in llm_qa_direct_only, and ran 60 experiments (grades and charts) for newly formatted experiment chart under old deepseek model v3
…deepseek-v3 vs v3-0324. halted v3-0324 due to inefficiencies in model.
…g parameters in parse scenario womd.
…on of the code has been done.
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closed comment test#1 to create pull request with newest commits, otherwise I could not do a new pull request with an already existing one.